Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling

14 November 2019

Papers citing "Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling"

6 / 6 papers shown

Title
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 50 18 0 13 Jun 2024
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version Razvan-Gabriel Cirstea Chenjuan Guo B. Yang Tung Kieu Xuanyi Dong Shirui Pan AI4TS 37 106 0 28 Apr 2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 2022
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting Li Shen Yangzhu Wang AI4TS 35 92 0 29 Aug 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018